Hey, I'm Emin 👋

Data Science and AI Engineer

I'm a passionate AI developer focused on building intelligent solutions that make a difference. Currently studying Data Science and Artificial Intelligence at Faculty of Electrical Engineering Sarajevo, with expertise in machine learning, deep learning, and modern software development.

About Me

Get to know me better

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I'm a passionate Data Science and AI Engineering student at ETF Sarajevo, dedicated to exploring the fascinating world of artificial intelligence and machine learning.

My journey in technology started with a curiosity about how data can be transformed into meaningful insights and intelligent solutions. I love working on projects that combine analytical thinking with creative problem-solving.

Currently, I'm diving deep into machine learning algorithms, neural networks, and data visualization, while also building web applications with modern technologies and integrations. I enjoy the challenge of turning complex data into user-friendly applications.

When I'm not studying or coding, I love exploring new technologies, working on personal projects, and using technology to make a positive impact on the world. I'm always excited to collaborate on innovative projects and learn from fellow developers and AI enthusiasts.

What I Focus On

Machine Learning

Building intelligent systems that learn from data and make predictions

Data Analysis

Extracting meaningful insights from complex datasets

Full-Stack Development

Creating end-to-end solutions with modern web technologies

AI Innovation

Exploring cutting-edge artificial intelligence applications

Languages

Core programming languages and their applications

  • Python: proficiency 95 percent, level Expert Level. Primary language for AI, ML, and backend development
  • C++: proficiency 75 percent, level Advanced. System programming and performance-critical applications
  • Lua: proficiency 75 percent, level Advanced. Scripting for game development and automation
  • HTML/CSS/JSON: proficiency 90 percent, level Expert Level. Semantic markup and advanced styling with utility-first approach
  • JavaScript: proficiency 60 percent, level Intermediate. Modern ES6+ for frontend and backend development
  • Kotlin: proficiency 35 percent, level Beginner. Modern language for Android development and general-purpose programming
  • Pascal: proficiency 55 percent, level Beginner. Structured programming language used for algorithm design and problem solving
  • TypeScript: proficiency 50 percent, level Beginner. TypeScript is a strongly typed programming language that builds on JavaScript, giving better tooling at any scale.

Frameworks

Structures that software are built on

  • Flask: proficiency 78 percent, level Advanced. Lightweight Python web framework for building APIs and web applications
  • NatID: proficiency 85 percent, level Advanced. NatID is a C++ framework designed for developing and distributing a wide variety of applications. https://github.com/idzafic/natID
  • FastAPI: proficiency 70 percent, level Intermediate. Modern, fast (high-performance), web framework for building APIs with Python
  • React.js: proficiency 45 percent, level Beginner. Popular JavaScript library for building interactive user interfaces
  • Wear OS: proficiency 50 percent, level Beginner. Google's operating system for smartwatches, enabling development of wearable applications
  • V-REP (CoppeliaSim): proficiency 40 percent, level Beginner. Simulating and testing robotic systems in a virtual 3D environment
  • MATLAB Simulink: proficiency 0 percent, level Beginner. Environment used to design systems with multidomain models, simulate before moving to hardware, and deploy
  • NetworkX: proficiency 52 percent, level Beginner. NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

AI & ML

Artificial intelligence and data science technologies

  • PyTorch: proficiency 85 percent, level Advanced. Dynamic neural networks and research-focused ML
  • TensorFlow: proficiency 75 percent, level Advanced. Deep learning framework for neural networks
  • Scikit-learn: proficiency 70 percent, level Intermediate. Traditional machine learning algorithms and tools
  • OpenCV: proficiency 80 percent, level Advanced. Computer vision and image processing
  • YOLO: proficiency 85 percent, level Advanced. Pre-trained Computer vision models
  • Kraken OCR: proficiency 90 percent, level Expert Level. OCR and HTR engine optimized for historical documents and non-Latin scripts.

Data Science

Analyzing and interpreting complex data to drive insights

  • NumPy: proficiency 95 percent, level Expert Level. Data manipulation and analysis with powerful dataframes
  • Pandas: proficiency 90 percent, level Expert Level. Data manipulation and analysis with powerful dataframes
  • Matplotlib: proficiency 85 percent, level Advanced. Data visualization and plotting for insightful analysis
  • Seaborn: proficiency 80 percent, level Advanced. Data visualization and statistical graphics for insightful analysis
  • Selenium: proficiency 65 percent, level Intermediate. Automating web browsers for data extraction and testing

Cloud & Tools

Platforms and technologies that support my workflow

  • Git: proficiency 90 percent, level Expert Level. Version control for efficient collaboration and project tracking
  • Google Cloud: proficiency 70 percent, level Intermediate. Hosting, scaling, and managing projects in a secure cloud environment
  • Cloudflare: proficiency 65 percent, level Intermediate. Securing and optimizing web applications with global CDN and security features
  • Firebase: proficiency 55 percent, level Beginner. Backend-as-a-Service platform for building and scaling web and mobile applications
  • Docker: proficiency 70 percent, level Intermediate. Containerizing applications for reliable and consistent deployment
  • n8n: proficiency 80 percent, level Advanced. Automating workflows and connecting apps effortlessly
  • Figma: proficiency 85 percent, level Advanced. Designing intuitive, collaborative, and scalable user interfaces
  • Wordpress: proficiency 74 percent, level Advanced. Worked with WordPress for maintaining official course`s website, and get along plugins like Breakdance, MailPoet, RankMath SEO, etc.
  • Proteus: proficiency 80 percent, level Advanced. Leading EDA software including schematic capture, advanced simulation, PCB autorouting, MCAD integration and much more.

Databases

Data storage and management solutions

  • MySQL: proficiency 60 percent, level Intermediate. Relational database design and optimization
  • MariaDB: proficiency 60 percent, level Intermediate. Provides enterprise open source database and database services to support scalability, mission-critical deployments, and more
  • Airtable: proficiency 100 percent, level Expert Level. Organizing and managing data through flexible, spreadsheet-style databases

Technical Skills

My expertise across different technologies and frameworks, continuously growing and evolving

Languages

Core programming languages and their applications

Python

95%

Primary language for AI, ML, and backend development

Expert Level

C++

75%

System programming and performance-critical applications

Advanced

Lua

75%

Scripting for game development and automation

Advanced

HTML/CSS/JSON

90%

Semantic markup and advanced styling with utility-first approach

Expert Level

JavaScript

60%

Modern ES6+ for frontend and backend development

Intermediate

Kotlin

35%

Modern language for Android development and general-purpose programming

Beginner

Pascal

55%

Structured programming language used for algorithm design and problem solving

Beginner

TypeScript

50%

TypeScript is a strongly typed programming language that builds on JavaScript, giving better tooling at any scale.

Beginner

Featured Projects

Some of my recent work

Game Of The Amazons
Game Development

Game Of The Amazons

Game Development

A strategic board game implementation featuring AI opponents with multiple difficulty levels, built with C++ and the natID framework.

C++CMakenatID
Robot Trajectory Optimization
Optimization

Robot Trajectory Optimization

Optimization

Real-time 2D robot trajectory optimization using Active-Set QP + Sequential Quadratic Programming (SQP), built with C++ and the natID framework.

C++CMakenatIDMatricesSQPActiveSetLDLT
Stream Sync
IoT

Stream Sync

IoT

Self-hosted Stremio server with remote access + automatic Simkl watchlist-to-calendar synchronization.

PythonDockerGithub ActionsCloudflareSimkl API
11+
Total Projects
3
Featured
46+
Technologies

Experience & Education

My journey so far

2026 - Present

Course Website Maintainer

Data Science & Artificial Intelligence (DSAI)

WordpressBreakdanceMailPoetRankMath SEO
2024 - Present

Data Science & Artificial Intelligence

Faculty of Electrical Engineering Sarajevo | University of Sarajevo

Pursuing Bachelor's degree in Data Science and Artificial Intelligence. Upon completion, I plan to pursue a Master's program to further deepen my knowledge in Data Science and AI.

PythonC++Machine LearningDeep LearningData ScienceData AnalysisMATLABSimulinkComputer VisionScraping ToolsVersion ControlStatisticsArtificial Intelligence
2022 - 2024

FiveM Developer

Freelance

Learn Lua fundamentals and started working on various FiveM RolePlay projects on Balkan as main developer.

LuaMariaDBTeamwork
2020 - 2024

Tehnicar Telekomunikacija

Srednja Elektrotehnicka Skola Sarajevo

Learned Fundamentals of Electrotechnics and Telecommunications, Practiced with tools for simulation and physical implementation of tested concepts.

PascalHTMLCSSProteusPCB RoutingPractical ImplementationArduinoOffice ToolsFigmaJavaScript

Get In Touch

Let's work together on something amazing

Let's Connect!

I'm always interested in hearing about new opportunities, collaborations, or just having a chat about technology and AI. Feel free to reach out!

Location

Sarajevo, Bosnia and Herzegovina

Status

Available for hire

Response

Within 24 hours

Work Style

Remote & On-site

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